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All Journal Journal of Applied Engineering and Technological Science (JAETS)
Parida Jewpanya
Department of Industrial Engineering, Faculty of Engineering, Rajamangala University of Technology Lanna Tak, 41/1 Paholayothin road , Mai Ngam , Muang, Tak 63000
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Investigating Tensile Strength in SLA 3D Printing Enhancement Through Experimentation and Finite Element Analysis Siwasit Pitjamit; Norrapon Vichiansan; Parida Jewpanya; Pinit Nuangpirom; Pakpoom Jaichomphu; Komgrit Leksakul; Pattarawadee Poolperm
Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v6i1.5119

Abstract

This study aims to optimize tensile strength in Stereolithography (SLA) 3D printing by investigating the effects of print orientation and layer orientation on mechanical properties. Employing a multilevel factorial design, we systematically analyzed various print andlayer orientations using both experimental and computational methods. The experimental component, performed with an Instron 5566 machine, identified a print orientation of 22.5 degrees and side orientations as optimal, achieving a tensile strength of 72.01 MPa. Computational simulations using ANSYS software supported these findings, showing a close correlation between experimental and simulated results. This research not only advances theoretical understanding of SLA 3D printing processes but also offers practical insights for optimizing tensile strength in manufacturing applications. By integrating experimental and finite element analysis (FEA) results, which predicted a maximum stress of 71.97 MPa under a 686 N load, the study contributes valuable knowledge for enhancing additive manufacturing practices and informs future research on parameter optimization
Co-Authors Komgrit Leksakul Norrapon Vichiansan Pakpoom Jaichomphu Pattarawadee Poolperm Pinit Nuangpirom Siwasit Pitjamit